Exclusive Chemaxon Interview released - Sponsor at AI in Drug Discovery Conference 2022

LONDON - March 5, 2022 - PRLog -- In less than 2 weeks time, SMi's 3rd Annual AI in Drug Discovery Conference will be taking place on bringing together senior experts from Principal Scientists, Heads of Business Development, CEO and VP's in the AI in drug discovery field.

SMi Group are delighted to release a sponsor focused speaker interview with Akos Tarcsay, Product Manager, Chemaxon Ltd ahead of the conference.

To view the full interview please visit http://www.ai-indrugdiscovery.com/PR4, click on the 'download centre' and then view 'sponsor speaker interview - Chemaxon'

An excerpt from the exclusive interview with Akos Tarcsay:

The AI in Drug Discovery market has matured greatly over recent years, what key differences have you noticed in the last year regarding significant developments?
"AI has become available for wider audiences by making machine learning easier to manage. Integration and MLOps developed significantly, making the ecosystem more robust, reproducible and stable. Techniques available in the scientific domain for a while are now closer to users who can harness the benefits of machine learning. In the last year generative modelling approaches have become standard to be applied in drug discovery settings".

What do you see as the greatest challenge for you to overcome personally in the field of drug discovery at the moment?
"The perception about the results of machine learning. This is a cultural change; consumers of the AI model results are to be educated on the benefits and possible limitations of the model to avoid confusion and distraction".

Akos will be speaking at AI in Drug Discovery Conference on "Converting Data To Project Team Insights" on day one, covering:

• Building machine learning models for large number of targets
• Demonstration of use cases from ADMET predictions: hERG and penetration models
• Overarching review of challenges from data to actionable predictions
• Leveraging the power of predictions in integrated design system

If you wish to join the conference you can register your place by visiting http://www.ai-indrugdiscovery.com/PR4

Sponsored by: Chemaxon, Optibrium and Schrödinger
Interested in sponsoring, exhibiting or speaking at this event? Contact Andrew Gibbons, Sales Manager, on +44 (0) 20 827 6156 or email agibbons@smi-online.co.uk

For media enquiries or to enquire about a press pass, contact Simi Sapal, Head of Marketing on +44 (0) 20 7827 6162 or ssapal@smi-online.co.uk

SMi's 3rd Annual AI in Drug Discovery Conference
Conference: 14 – 15 March 2022
London, UK
http://www.ai-indrugdiscovery.com/PR4
#SMiAIinDrugDis